Data Scientist

Summary

Join Muck Rack, a leading SaaS platform for PR professionals, as a Data Scientist! Work closely with a collaborative team to develop machine learning technologies that simplify user workflows. You'll tackle major projects involving large datasets, build new features, and contribute to our engineering culture. This role requires 2-3 years of experience in machine learning or statistical analysis, proficiency in Python, and strong collaboration skills. Muck Rack offers a competitive salary, remote work, comprehensive benefits (including health insurance, paid time off, parental leave, and professional development opportunities), and a positive, inclusive work environment.

Requirements

• 2-3 years total professional experience with Machine Learning or Statistical Analysis
• A capacity for a high degree of autonomy and out-of-the-box thinking
• The ability to write sophisticated data analysis & machine learning code in Python
• A commitment to collaborating closely with other engineers and across functions

Responsibilities

• Develop Machine Learning technologies which help simplify the jobs of our users
• Work on major technical projects with large data volumes
• Lead the building of new features
• Help shape our engineering culture and processes
• Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
• Research and evaluate new analytical methodologies, approaches, and solutions
• Build, test, and deploy supervised or unsupervised learning models
• Write queries (SQL, elastic search) to grab the right set of data to solve their problem
• Build tools to enable other data scientists to scale their knowledge and increase impact
• Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
• Participate in team wide brainstorming sessions to collaborate on models and algorithms throughout the team

Preferred Qualifications

• Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
• Experience with text modeling, NLP, and large language models
• Interest in search
• Interest in journalism, news, media or social media

Benefits

• Remote Work, Forever. We’re a fully distributed team and have pledged to remain that way forever . We offer employees a full home office setup, phone & internet reimbursement, and a monthly coworking membership
• Transparent Compensation. We offer competitive geo-neutral pay in the U.S. and review compensation at least once annually to ensure internal equity and alignment with the external market. Depending on the role, we offer either a standardized bonus program or attainable commission structure and an opportunity to earn equity in the company. All employees are eligible for our 401(k) plan* with employer contributions
• Health & Wellness*. Muck Rack provides comprehensive health, dental, vision, disability and life insurance for employees and their families. We offer a high-deductible health plan with 100% premium coverage for individuals, as well as a range of other plan options. Our team also has access to 24/7 Virtual Care, an Employee Assistance Program, employer-funded HSA contributions, and other pre-tax benefits. Team members have access to a quarterly wellness stipend and a free Headspace subscription
• PTO and Family Benefits. Our team enjoys 4+ weeks of off-the-grid PTO, paid sick/mental health days and 13 paid holidays, which can be exchanged for additional PTO with our "Holiday Swap Program." We also provide up to 16 weeks of fully paid parental leave
• Personal & Professional Development. We grow talent by creating internal pathways for advancement and promotion. Muck Rack conducts bi-annual performance reviews, hosts team-wide workshops, and offers management training and leadership training opportunities. We also provide unlimited subscriptions to L&D platforms including Coursera & O’Reilly, as well as 2 additional days of PTO to dedicate to learning and development